Penerapan Logika Fuzzy Metode Sugeno Untuk Optimalisasi Nilai Ekspor Ikan Tuna Hs 160414 Ke Italia

Luthfia Rohimah, Sinta Rukiastiandari, Juarni Siregar

Abstract


To fund the ongoing development at this time the State requires income from various sources such as income from exports. Export is an activity of sending goods abroad where the activity will produce value. And Indonesia's export value which is quite high comes from non-oil and gas exports, one of which is the export of processed tuna 160414. One of the destination countries for the export of processed tuna which is quite high is Italy. The purpose of this study is to find out the best method for predicting the value of processed tuna exports to Italy in the application of fuzzy logic in order to optimize the value of exports. The results showed that the Sugeno method is a good method. The Sugeno method has results that are quite close to the actual results with an error rate of 41%, so the Sugeno method can be used as a recommended method in predicting the optimal amount of Indonesia's 160414 HS exports to Italy.

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References


Abrori, M., & Prihamayu, A. H. (2015). Aplikasi Logika Fuzzy Mamdani dalam Pengambilan Keputusan Penentun Jumlah Produksi. Kaunia, XI(2), 91–99.

Iswari, L., & Wahid, F. (2005). Alat Bantu Sistem Inferensi Fuzzy Metode Sugeno Orde Satu. In Seminar Nasional Aplikasi Teknologi Informasi 2005 (Vol. 2005, pp. 59–64).

Komariyah, S., Yunus, R. M., & Rodiyansyah, S. F. (2016). Logika Fuzzy dalam Sistem Pengambilan Keputusan Penerimaan Beasiswa. Jurusan Teknik Informatika Fakultas Teknik Universitas Majalengka, 61–69.

Kusumadewi, Sri dan Purnomo, Hari (2010). Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Yogyakarta: Graha Ilmu.

Mastur. (2006). Strategi Peningkatan Ekspor Indonesia dalam Perdagangan Bebas. AKSES: Jurnal Ekonomi Dan Bisnis, 1(1), 31–45.

Rachman, I. (2013). Analisis Kinerja Ekspor Komoditi Perkebunan terhadap Pertumbuhan Ekonomi di Sulawesi Utara. EMBA, 1(3), 401–410.

Sedyaningrum, M., Suhadak, & Nuzula, N. F. (2016). Pengaruh Jumlah Nilai Ekspor, Impor, dan Pertumbuhan Ekonomi terhadap Nilai Tukar dan Daya Beli Masyarakat di Indonesia. Jurnal Administrasi Bisnis (JAB), 34(1), 114–121.

Sulistiani, E., & Noris, S. (2016). Penerapan FIS Metode Tsukamoto untuk Menentukan Kelayakan Pemberian Kredit. Jurnal Informatika Universitas Pamulang, 1(1), 22–27.

Wachdani, R., Abidin, Z., & Yaqin, M. A. (2012). Pengatur Pola Menu Makanan Balita untuk Mencapai Status Gizi Seimbang Menggunakan Sistem Inferensi Fuzzy Metode Sugeno. MATICS, 4(5).

Wardani, A. R., Nasution, Y. N., & Amijaya, F. D. T. (2017). Aplikasi Logika Fuzzy dalam Mengoptimalkan Produksi Minyak Kelapa Sawit di PT. Waru Kaltim Plantation Menggunakan Metode Mamdani. Jurnal Informatika Mulawarman, 12(2), 94–103.

Wibowo, S. (2015). Penerapan Logika Fuzzy Dalam Penjadwalan Waktu Kuliah. Jurnal Informatika UPGRIS, 1(Juni), 59–77.

www.kemendag.go.id

www.trademap.org




DOI: https://doi.org/10.31294/jtk.v6i1.6693

Copyright (c) 2020 Luthfia Rohimah, Sinta Rukiastiandari, Juarni Siregar

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ISSN: 2442-2436 (print), and 2550-0120


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Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License